Abstract: A method for evaluating a status of a vehicle, the method may include (i) obtaining sensed information during one or more driving sessions of the vehicle; (ii) determining, based on the sensed information, (a) multi-component-model (MCM) behavioral information regarding one or more MCM driving events, and (b) a component behavioral information regarding one or more component driving events; wherein a behavior of at least one first part of the vehicle during the one or more MCM driving events is indicative of a status of one or more MCMs; wherein a behavior of at least one second part of the vehicle during the one or more component driving event is indicative of a status of one or more components; (iii) determining the status of the one or more MCMs, based at least on the MCM behavioral information; and (iv) determining the status of the one or more components, based at least on the component behavioral information, the status of the component.

Abstract: Apparatus, systems, and/or methods may involve reporting a road hazard. Road hazard data may be collected for an object on a road, which may include automatically generated data from a device associated with the object causing a hazard. The road hazard data may be provided to a service, an application, a device, a client, and so on. For example, the road hazard data may be merged with a map and provided to a map services client, a navigation client, and so on. An alert may be generated based on the road hazard data to warn of the hazard caused by the object. The alert may include a visual and/or audio representation of the hazard data. The alert may be used to automatically and/or manually avoid the hazard.

Abstract: An assembly for correcting an attitude of at least a selected portion of a structure, where the assembly includes a controller affixed to a structure operatively coupled with one or more jacks operable to change the attitude of the structure; and a remote device configured to communicate wirelessly with the controller to change the attitude of a selected portion of the structure. Also disclosed is a method for adjusting an attitude of a movable structure.

Abstract: A diagnostic condition indexed kit for implementing a do-it-yourself automotive repair includes at least one replacement part compatible with a specified vehicle, at least one tool for installing the replacement part(s) in the specified vehicle, and packaging containing the replacement part(s) and the tool(s). The packaging may include an indicator, accessible from outside the packaging, referencing the specified vehicle and a diagnostic condition associated with the specified vehicle that is repairable by installation of the replacement part(s). A scan tool or app-loaded mobile device may be operable to communicate with an onboard computer of a vehicle and receive one or more repair codes associated with the diagnostic condition and vehicle-identifying information from the onboard computer and identify the kit based on the received repair code(s) and vehicle-identifying information. A server may match the repair code(s) and vehicle diagnostic information to a kit identifier.

Abstract: Embodiments of the present invention relate to automobile diagnostic methods, apparatuses, devices and systems, and a diagnostic connection devices. Embodiments include: a first interface connector module configured to read an operation performed by a user on an interface, and convert the operation into a corresponding diagnostic instruction; a first protocol converting module configured to convert the diagnostic instruction into standard transmission data corresponding to the diagnostic instruction; and a first software interface module configured to send the standard transmission data corresponding to the diagnostic instruction through the first communication unit.

Abstract: Systems, apparatus, and computer-readable media for verifying operations of vehicle control systems are disclosed. During a test cycle, a processor may monitor control modules and/or sensors embedded in a vehicle for control system data, may generate and report fingerprint based on a combination of the control system data, and may report the fingerprint to a remote computing device. During deployment, the processor may monitor the control modules/sensors for control system data, may generate and performance results based on a combination of the control system data, and may report the performance results to the processor. The process may verify whether the control systems of the vehicle are operating as desired based on a comparison of the performance results with the fingerprint. The remote computing device may generate and send an alert or flag to a remote device if the control systems of the vehicle are not operating as desired.

Abstract: A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.

Abstract: The present invention provides a remote automobile diagnostic method, apparatus, and system. The method includes: receiving a diagnosis joining request sent by a remote terminal, and adding the remote terminal to a diagnostician group; sending, to a remote terminal in the diagnostician group, diagnostic information uploaded by a diagnostic device; and determining, as a control terminal, the remote control with control permission in the diagnostician group, so that the control terminal controls, according to the diagnostic information, the diagnostic device to perform an automobile diagnosis operation. Accordingly, a plurality of remote terminals can collaboratively diagnose an automobile, so that diagnosis efficiency of an automobile is improved.

Abstract: According to an aspect of an embodiment, a method may include obtaining map data of a physical area. The map data may include surface data included in the physical area. The surface data may include locations of one or more objects at the surface. The method may also include identifying a first relationship between the map data and sensor information used by autonomous-vehicle software of an autonomous vehicle for navigation. The method may also include generating a three-dimensional environmental representation that represents the physical area based on the map data and the first relationship between the map data and the sensor information. The three-dimensional environmental representation may be configurable as a simulation environment with respect to testing the autonomous-vehicle software.

Abstract: Provided herein is a system and method for providing a vehicle navigation in response to broken or uncalibrated vehicle sensors. The system comprises a sensor to capture data, one or more processors, and a memory storing instructions that cause the system to determine whether the sensor is broken or uncalibrated based on the data, and to limit a range of motion of the vehicle when the sensor is determined to be broken or uncalibrated. The limiting a range of motion of the vehicle includes limiting a number of driving options for the vehicle when the sensor is broken.

Abstract: A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.

Abstract: Commands, including a first and second command associated with a first and second rotor module, are determined based at least in part on a set of desired forces or moments and a plurality of health metrics, including by determining a plurality of differences between the plurality of health metrics and a threshold and assigning a lower thrust value to the first command based at least in part on the first difference and a higher thrust value to the second command based at least in part on the second difference, where the first difference indicates a higher degree of wear on the first rotor module than the second difference indicates for the second rotor module. The commands are sent to the rotor modules and after the commands are performed, updated health metrics are determined.

Abstract: Techniques are described herein for determining one or more actions for an autonomous vehicle to perform, based on simulation of at least one possible scenario. A possible scenario may involve, for example, the autonomous vehicle interacting with an object in the environment. The possible scenario may be simulated by modifying a first internal map containing information about the autonomous vehicle and the environment. As part of the simulation, one or more parameters of the first internal map can be modified in order to, for example, determine the state of the object at a particular point in the future. Based on the modification of the one or more parameters, a second internal map representing a possible scenario is generated from the first internal map. Both the first internal map and the second internal map can be evaluated to decide which action to take.

Abstract: A method for processing a vehicle end-of-line (EOL) testing routine includes determining whether a diagnostic trouble code (DTC) is issued during the vehicle EOL testing routine and obtaining vehicle network data generated during the vehicle EOL testing routine. The method includes, in response to a determination that the DTC is issued during the vehicle EOL testing routine, storing the vehicle network data in a database, associating the DTC with an electronic control module from a plurality of electronic control modules, identifying a designated agent from among a plurality of agents based on the DTC and a ECM-agent directory, and electronically transmitting a notification to the designated agent, where the notification provides access to the vehicle network data and the DTC.

Abstract: A method detects the wear state of a component of a door drive system of a rail vehicle. The method includes reading a sequence of first motor parameters and second motor parameters, wherein the first motor parameters represent a different physical variable of a motor of the door drive system than the second motor parameters. The method additionally includes checking whether a value which represents the sequence of the first motor parameters satisfies a specified criterion in order to detect the wear state of the component of the door drive system.

Abstract: A method includes generating one or more calibration instructions for calibrating one or more sensors coupled to a movable object and providing at least some of the one or more calibration instructions to a user interface. The at least some of the one or more calibration instructions includes human-readable user instructions for moving the movable object along a predetermined pattern. The method further includes calibrating one or more sensor parameters for the one or more sensors based at least in part on sensor data collected while the movable object moves along the predetermined pattern.

Abstract: A risk management system that includes an internet of things (IoT) integrated logic engine connected to IoT-capable sensors and devices and autonomous entity sensors and devices. The logic engine processes and analyzes in real-time the data from the plurality of IoT-capable sensors and the autonomous entity sensors. The logic engine further identifies novel patterns and pre-defined data patterns in the data from the plurality of IoT-capable sensors and the autonomous entity sensors to determine that a risk is occurring or imminent. The logic engine further sends real-time notifications to a set of subscribers of the risk management system about the risk that is occurring or imminent and provide inter-device communications to provide real-time warnings between one or more of the plurality of sensor-enabled devices and the autonomous entity devices.

Abstract: A system and method including monitoring an available storage capacity of a data store onboard a vehicle and annotated data stored therein, the annotated data stored in the data store including event data associated with an operation of the vehicle; automatically deleting, in response to an indication of at least one of the available storage capacity of the data store and the annotated data stored therein, at least a portion of the data from the data store; and generating an output including an indication of a completion of the automatic deleting of the at least a portion of the data.

Abstract: A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

Abstract: Techniques for auto-locating and autonomous operation data storage are disclosed. An example method can include storing a representation of an aircraft in a data storage of the computing system. The representation and instructions for performing a first operation on the aircraft can be transmitted to a first robot. The first robot can be configured to identify the aircraft based on a first feature of the representation. The method can further include receiving sensor data. The method can further include transmitting the sensor data to an analysis service to identify a state of a part of the aircraft. The method can further include storing the analysis in the data storage. The method can further include generating second instructions for performing a second operation on the aircraft based on the analysis and the representation stored in the data storage.